Machine Learning Scientist

We are seeking a highly motivated Machine Learning Scientist to develop predictive models for diagnosing infectious and other diseases. The position will have a major public health impact: you will see your in silico work translated to a clinical product. This is a fantastic opportunity to get in on the ground floor of a growing biotech startup applying cutting-edge machine learning to solve major unmet medical needs. As an early employee, part of the job will be significant input on many aspects of the product development.

PRIMARY RESPONSIBILITIES:

Design, implement, execute and document machine learning and deep learning algorithms using gene expression and clinical data as input features

Keep a detailed algorithm development log and communicate work in research reports, presentations, abstracts, blogs and manuscripts

QUALIFICATIONS:

BS or MS degree in computer science, statistics, machine learning or related field

5+ years industry or equivalent experience and successful track record in applying machine learning methods on tabular data, ideally in startup environment

Familiarity with basic statistical methods

Strong python programming skills

Strong deep learning skills, including TensorFlow, keras or similar frameworks

Familiarity with Bayesian learning is a plus

KNOWLEDGE, SKILLS, AND ABILITIES:

Prior work with life-science data is a plus

Experience analyzing small-sample datasets is a plus

Very strong analytical and problem-solving skills; organized and efficient

Inflammatix is a molecular diagnostics company that is developing rapid tests that read the immune system to resolve major clinical and public health challenges. Our initial focus is on acute bacterial and viral infections, and sepsis